Asian Journal of Convergence in Technology
Not a member yet
868 research outputs found
Sort by
Quantum Perspectives: Quantum Computing’s Conquest Across The Spectrum Of Domains
Get PDFQuantum computation, which has been evolving from time to time, is cutting across several sectors such as finance, blockchain, encryption, among others. There are vigorous competitions among scientists and researchers to bring a twist of innovative quantum computation. The finance sector is always a sector that uses technology to the maximum of its potential. Its uniqueness has exhibited a distinct level of effectiveness and cost-saving. For instance, J.P. Morgan uses a platform known as Contract Intelligence, a machine code, to review its thousands of documents with great expediency as if they were unlimited. This platform processes 12,000 commercial loan agreements annually in mere seconds, a task that would require over 360,000 hours through manual review processes. The use of quantum computing in finance promises not only exponential increases in efficiency but also unlocks unprecedented breakthroughs previously deemed unattainable. This paper delves into the ongoing advancements facilitated by quantum computing in various facets of the blockchain, cryptography, financial and Formula One (F1) racing industry showcasing its potential to redefine the landscape
Forensic face-sketch creation and recognition using AWS Rekognition and facenet
Get PDFForensic science faces significant challenges due to the time-consuming nature of hand-drawn face sketches, which hinder prompt criminal identification. Traditional methods, relying on forensic artists, are not only resource-intensive but also plagued by delays. The integration of modern technologies, such as deep learning and cloud infrastructure, presents a complex challenge, particularly concerning the interpretation of diverse user inputs and ensuring real-time compatibility with police databases while addressing data privacy concerns.
To address these challenges effectively, this paper proposes a comprehensive solution. The focal point is on robust algorithmic development, a user-friendly design, and a secure cloud infrastructure. The envisioned standalone application aims to revolutionize the face sketch creation process, enabling users to effortlessly generate composite sketches through a drag-and-drop interface. By leveraging advanced deep learning techniques, the application seeks to bridge the gap between intuitive sketch creation and efficient facial recognition, thereby streamlining the entire investigative process.
Sketch artists are utilized in criminal investigations to create facial composites based on eyewitness descriptions. However, this method is time-consuming, subjective, and reliant on the availability of skilled artists, posing challenges in accuracy and resource allocation for law enforcement agencies. As technology advances, there is a growing need to explore more efficient and objective alternatives to traditional hand-drawn sketches
IoT-Enabled Smart Shopping Cart with Embedded Systems for Social Distancing
Get PDFPeople of all ages are becoming more and more drawn to electronic devices as a result of the radical changes in technology. Electronic equipment like RFID scanners, barcodes, and smart card readers are being used more and more in numerous businesses. These devices are also necessary for supermarkets. At the moment, every customer in the mall buys the item that is in the cart. The customer will have to wait in queue to be billed after making a transaction. An employee scans the barcode of each product and bills it to the final during the billing process. This procedure may take a long time, and it may be particularly arduous on weekends, holidays, or during special deals. A clever method of mall shopping has been devised to get around this. Every item is equipped with an RFID tag
FE Analysis of Cornering Fatigue Test for Wheel Rim of Light Commercial Vehicle
Get PDFAutomobile wheels are an essential and important part of any automobile from their invention to today they have taken on various designs changes, structures, and styles. Main function of automobile wheels is to carry the overall weight of vehicle, resist the forces & stresses created during driving and transmit the driving torque to achieve the required speed & torque while driving. Wheels must have well strength stiffness and having durable design to withstand running at high speeds. Also they are capable to absorb various shocks and vibration on various road load condition like braking, bump, cornering. Automobile wheel assembly consist of various parts like tire, wheel rim, disc, and bearing. Wheel is mounted on axle hub to provide vehicle motion through bearing. Tires reduce shock and provide traction & cushioning. They can be considered part of the suspension system. They transmit engine power, as well as braking and cornering efforts, to the road. Tires prevent wheel rim from various force which are directly comes from roads while driving
Securing SDN Networks: Employing LSTM and Linear SVM Models for Enhanced Network Security with VPN Integration
Get PDFIn the ever-changing landscape of network security, Software-Defined Networking (SDN) is a critical foundation that requires strong protections against cyber threats. This research describes a novel strategy to fortifying SDN networks by combining Deep Learning (DL) and Machine Learning (ML) approaches. Our solution detects, analyses, and prevents potential security breaches in real time by using Long Short-Term Memory (LSTM) and Linear Support Vector Machine (SVM) models, as well as PyVPN integration. Our technology intends to improve SDN network resilience against a variety of cyber threats, including malware, intrusions, and denial-of-service attacks, by analysing network traffic patterns comprehensively and proactively identifying anomalies. Through extensive validation, we demonstrate the usefulness of our strategy in strengthening SDN network security, providing a robust defense mechanism against the ever-persistent threat landscape
A systematic review of similar Questions Retrieval Approaches
Get PDFA renowned online community known as Quora enables members to post queries, receive insightful responses, and share knowledge. The capacity of Quora to find related questions based on a user's search is a distinctive feature that makes it simple for users to access pertinent information and add it to the platform's knowledge base. The retrieval of comparable questions from Quora is the topic of this paper. We assess various systems that classify related queries and quickly deliver pertinent responses to information searchers. Our assessment of machine learning and natural language processing methods focuses on how well these methods work when obtaining queries from the large Quora question database that serves related objectives. Our thorough research paper provides a summary of the literature on comparable question retrieval in Quora while highlighting the benefits and drawbacks of various approaches. Our evaluation identifies prospective topics for more research and development and acts as a guide for future scholars interested in this field. By enhancing similar question retrieval on Quora, we hope to encourage knowledge-sharing and community development on this important platform. Users can find the most pertinent responses to their inquiries on Quora by using the study's findings
LOCK MART - SMART LOCKER SYSTEM
Get PDFSecurity is very important in today's world. Even though there are various approaches, there is no solution that will restrict the access to only users in a secure and effective manner. With the advancement of technology, this system suggests an alternative strategy to the traditional process that is based on the internet of Things and application. The Smart Locker System is an inventive and cutting-edge technical solution created to improve convenience, security, and effectiveness in a variety of settings including businesses, residence complexes, retail malls, and more. For a seamless and safe user experience, this system combines contemporary technology including the Internet of Things (IoT), mobile applications, and electronic locking mechanisms
Cyber Security and People: Human Nature, Psychology, and Training Affect User Awareness, Social Engineering, and Security Professional Education and Preparedness
Get PDFThis work focuses on how machine learning methods may be used to identify threats and provide countermeasures. Security threats and vulnerabilities pose significant difficulties in today’s digital world. Algorithms trained with machine learning can sift through massive volumes of data, look for trends, and spot possible security breaches as they happen. These algorithms can offer preventative security measures and actions because they use sophisticated analytics and predictive models. This abstract delves into the use of machine learning to bolster security, focusing on its potential to improve threat detection and provide implementable suggestions for shoring up overall security
Consumers Triggering Factory Robots Over the Internet to Optimize Purchasing Systems
Get PDFDemand prediction has become a big business. Google, Facebook, X etc. thrive on helping predict demand levels as well promote products. Google is doing well because of their ability to make the best demand prediction for existing products and predict future trends. The current purchasing system is causing economic waste. Today if products are not sold, they are dumped by supermarkets, wholesalers, warehouses, and factories. But if an efficient purchasing system where customers’ credit card approval immediately triggers factory robots to manufacture products, it is possible to cut out the need to make demand predictions. This will lead to a purchasing system where customers deal directly with factories, which is favorable to producers as they reduce waste due to improper demand prediction and customers who will have to pay less as the middlemen are cut out; the typical manufacturing cost is only 10% of what customers pay for products
Review On Odometry Techniques in Robotics Applications
Get PDFWith speedy advancements within the location of robotics and automation, a developing want has arisen in the direction of accurate navigation and localization of transferring gadgets. Modern sensors and algorithms are required for shifting robots with the capability to understand their environment, and enable the deployment of novel localization schemes, which include odometry, or Simultaneous Localization and Mapping (SLAM). For self sufficient navigation, movement tracking, and obstacle detection and avoidance, a robotic need to preserve information of its function over the years. Imaginative and prescient-based totally odometry is a sturdy approach applied for this cause. It lets in a automobile to localize itself robustly with the aid of the usage of best a movement of pix captured through a camera connected to the vehicle. This paper presents a top level view of present day odometry techniques, packages, and demanding situations in cell robots. The observe offers a comparative evaluation of different techniques and algorithms related to odometry and emphasizing on its efficiency and different characteristic extraction functionality, and programs. In this paper we have done a rigorous literature survey on odometry techniques and presented it in a proper format